Abstract

Abstract. Formaldehyde columns retrieved from the Scanning Imaging Absorption Spectrometer for Atmospheric Chartography/Chemistry (SCIAMACHY) instrument onboard ENVISAT satellite through 2003 to 2006 are used as top-down constraints to derive updated global biogenic and biomass burning flux estimates for the non-methane volatile organic compounds (NMVOCs) precursors of formaldehyde. Our interest is centered over regions experiencing strong emissions, and hence exhibiting a high signal-to-noise ratio and lower measurement uncertainties. The formaldehyde dataset used in this study has been recently made available to the community and complements the long record of formaldehyde measurements from the Global Ozone Monitoring Experiment (GOME). We use the IMAGESv2 global chemistry-transport model driven by the Global Fire Emissions Database (GFED) version 1 or 2 for biomass burning, and from the newly developed MEGAN-ECMWF isoprene emission database. The adjoint of the model is implemented in a grid-based framework within which emission fluxes are derived at the model resolution, together with a differentiation of the sources in a grid cell. Two inversion studies are conducted using either the GFEDv1 or GFEDv2 as a priori for the pyrogenic fluxes. Although on the global scale the inferred emissions from the two categories exhibit only weak deviations from the corresponding a priori estimates, the regional updates often present large departures from their a priori values. The posterior isoprene emissions over North America, amounting to about 34 Tg C/yr, are estimated to be on average by 25% lower than the a priori over 2003–2006, whereas a strong increase (55%) is deduced over the south African continent, the optimized emission being estimated at 57 Tg C/yr. Over Indonesia the biogenic emissions appear to be overestimated by 20–30%, whereas over Indochina and the Amazon basin during the wet season the a priori inventory captures both the seasonality and the magnitude of the observed columns. Although neither biomass burning inventory seems to be consistent with the data over all regions, pyrogenic estimates inferred from the two inversions are reasonably similar, despite their a priori deviations. A number of sensitivity experiments are conducted in order to assess the impact of uncertainties related to the inversion setup and the chemical mechanism. Whereas changes in the background error covariance matrix have only a limited impact on the posterior fluxes, the use of an alternative isoprene mechanism characterized by lower HCHO yields (the GEOS-Chem mechanism) increases the posterior isoprene source estimate by 11% over northern America, and by up to 40% in tropical regions.

Highlights

  • Formaldehyde (HCHO), a prominent aldehyde in the atmosphere, is formed as the result of photochemical oxidation of hydrocarbons, but is directly released during biomass burning events and anthropogenic activities

  • About 60% of the produced HCHO originates from the methane oxidation, 30% from isoprene degradation, 3% is formed either directly or through the oxidation of non-methane volatile organic compounds (NMVOCs) emitted during fire events, and the remainder is generated by anthropogenic sources (Stavrakou et al, 2009)

  • Short-term and final HCHO yields from the emitted NMVOCs in IMAGESv2 are calculated after one day or two months of box model simulations, respectively, and illustrated in Fig. 1.The simulations are performed under high NOx conditions (1 ppbv NO2), and are initialized with 0.1 ppbv NMVOC, 35 ppb O3, and 100 ppb CO

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Summary

Introduction

Formaldehyde (HCHO), a prominent aldehyde in the atmosphere, is formed as the result of photochemical oxidation of hydrocarbons, but is directly released during biomass burning events and anthropogenic activities. The adopted grid-based inverse modelling approach has been used earlier to provide improved emission estimates of reactive species (Stavrakou and Muller, 2006). It allows for the optimization of the emission strengths at the model resolution, providing a differentiation among the emission sources, while accounting for the interactions between chemical compounds (Stavrakou et al, 2008). Using monthly averaged observed HCHO columns as constraints, two inversion studies are performed, using GFEDv1 or GFEDv2 as a priori for pyrogenic NMVOC emissions, and updated top-down global emission estimates are derived for the NMVOC sources over 2003– 2006 Comparisons with previous modelling work are presented, as well as a number of sensitivity studies conducted to quantify how different parameters of the inversion setting influence the inferred solution (Sect. 4.6)

HCHO column abundances from SCIAMACHY
The IMAGESv2 global CTM
A priori emissions
Data selection for the inversion
Grid-Based Inversion Setup
Specifying the Error Covariance Matrix
Results and discussion
Southern Africa
Northern Africa
Southeast Asia
North America
Amazonia
Sensitivity inversions
Conclusions
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